I build quantitative models at the intersection of commodity market dynamics, physical climate risk, and geospatial intelligence. My work spans stochastic modeling of energy and minerals price regimes, satellite-derived risk signals, and the data infrastructure that connects raw environmental data to financial and policy decisions.
Currently focused on: critical minerals supply risk · energy market regime classification · physical climate risk modeling · geopolitical commodity exposure
- 🪨 Critical minerals & metals · supply chain risk · geopolitical exposure modeling
- ⚡ Energy & commodity markets · price dynamics · regime classification
- 🛰️ Geospatial & remote sensing · satellite-derived risk signals · spatial analytics
- 📐 Stochastic processes · Markov chain models · probabilistic risk frameworks
- 🧱 AI & data infrastructure · governance · pipeline architecture
- 🎓 M.A. Economics · M.A. Applied Mathematics & Statistics — CUNY Hunter College (in progress)
- 📍 New York, NY
Quantitative Methods: Stochastic processes · Markov chain & hidden Markov models · GMM regime classification · Gaussian-process & stochastic-volatility models · Lévy-process frameworks · time-series econometrics · probabilistic risk modeling · spatial & geospatial analysis · remote sensing analytics · GHG / carbon accounting
Languages & Tools: Python · R · SQL / PostgreSQL · QGIS / ArcGIS · Google Earth Engine · Tableau · Power BI · Airflow · Snowflake · Databricks · AWS
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commodity-ml-dashboard — ML-driven signal visualization for energy and metals markets. Applies regime classification and exploratory analytics to commodity price dynamics across oil, gas, and critical minerals.
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flood-physical-risk (in progress) — Probabilistic flood inundation model combining CMIP6 climate projections with geospatial asset exposure data. Translates physical climate hazard into credit-relevant risk scores at the property and portfolio level.
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climate-credit-risk (in progress) — Framework for embedding physical and transition climate risk into credit loss modeling. Connects NGFS scenario pathways to PD/LGD adjustment under climate stress.
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critical-minerals-intelligence (in progress) — Supply chain risk dashboard for copper, cobalt, lithium, and nickel. Integrates HHI concentration metrics, geopolitical exposure scores, and GMM regime classification to surface supply tightness signals relevant to commodity markets and energy transition portfolios.
- "Crisis as Infrastructure" — Co-authored chapter in [Routledge Handbook], with Esparza & Tinga. Analyzes necropolitics and European border governance through a structural lens. (Routledge)
- Lead Contamination in Newark School Water — Gothamist. Data investigation revealing elevated lead levels in Newark public-school drinking water, contradicting official assurances. Read →
- Racial Disparities in Queens Community Boards — Queens Eagle. Demographic analysis of the representation gap between community boards and the residents they serve. Read →
- Mapping COVID in Queens — Queens Eagle. Geospatial analysis of COVID testing access across Queens, highlighting persistent gaps in a former epicenter. Read →
- A Decade Undone: Youth Disconnection in the Age of Coronavirus — Measure of America / SSRC. Contributing researcher and data analyst on a national report measuring youth disconnection. PDF →
- A Portrait of Louisiana 2020 — Measure of America / SSRC. Contributing researcher, analyst, and writer on an American Human Development Index state profile. PDF →
Built at the Social Science Research Council — Measure of America:
- data2go.nyc — neighborhood well-being mapping platform (featured at the Museum of the City of New York)
- data2gohealth.nyc — health-focused companion mapping tool
- ourhome.nyc — housing and community data tool